Advancing Data Science Education for Society 5.0: Identifying Gaps and Proposing Solutions
The rapid advancement of digital technologies has led to an increasing demand for data science professionals. Addressing how data science education can better meet social needs is a pressing issue. This paper focuses on analyzing the current education content of data science programs in Japanese universities, identifying gaps in knowledge and application between societal demands and educational contents. We propose the integration of digital technology-enhanced co-creation of simulation games to facilitate the construction and application of data science knowledge among students. This method is more closely aligned with the cognitive learning processes of university students, thereby better preparing them to meet the demands of a digital society.
Authors
- Xiaoyun Guo (ORCID: https://orcid.org/0000-0002-3135-0551)
- Gordon Li (ORCID: https://orcid.org/0000-0001-8372-0676)
Institutions
- Kyoto University of Foreign Studies (JP)
Publication Details
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1109/coginfocom63007.2024.10894716
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Kyoto University